We’re passionate about helping students learn more about STEM, and through our academic program we give students the opportunity to collaborate on STEM-related projects involving innovative technologies like data analytics, robotics and AI. Since 2011, we have partnered with a number of universities to sponsor research projects, internships, robotics teams, scholarships, and other educational programs that provide students with access to hands-on learning and real-world engineering experience.
In the pursuit of improving engine performance and mitigating emissions, researchers have explored the intriguing domain of fuel blends incorporating butanol and gasoline. This innovative study aims to unravel the intricate dynamics between butanol and gasoline when utilized as a blended fuel in internal combustion engines. The current study integrates cutting-edge techniques such as Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) for the optimization of engine performance.
The research questions explore the recent progress and technological advancements in Wireless Power Transfer (WPT), the reflection of global engagement within the WPT community through publication trends and geographical distribution, and the alignment of thematic clusters with SDG goals. Questions also investigate the contribution of AI to WPT, challenges and barriers to WPT adoption revealed by bibliometric analysis, ways WPT technology can democratize technology access in marginalized regions, and specific recommendations to ensure WPT technologies effectively accelerate progress towards achieving a broader set of SDGs.
This text ties into SDG 7 (Affordable and Clean Energy) and SDG 9 (Industry, Innovation, and Infrastructure). It focuses on the development and enhancement of inorganic multifunctional nanomaterials for energy applications, which are crucial for improving energy efficiency, storage, and conversion, thereby supporting sustainable energy solutions and innovative infrastructure development.
The study forecasts AI-based innovation's impact on SDGs in 22 countries from 2022 to 2030 using System Dynamics Modeling. In most of the 22 countries studied, AI-based innovation positively affects SDGs 1, 3, and 5. For half of the countries studied, AI-based innovation positively influences SDGs 2, 4, 6–8, 11, 13, and 16–17. AI-based innovation does not positively influence SDGs 10, 12, 14–15 for most countries studied.
World Intellectual Property Day 2024 is highlighting the critical importance of intellectual property (IP) in catalyzing the human innovation and creativity needed for achievement of the United Nations Sustainable Development Goals (SDGs). This study provides an overview of the key debates and the recent evidence on the societal role of Intellectual property rights (IPRs).
Large language models (LLMs) are positioned to become another destination for those seeking medical information. Consequently, the readability of these materials becomes an important factor in ensuring their effectiveness in promoting health literacy, given that the average American reads at the eighth-grade level. Supports SDGs 3 and 10.
This article presents an exploratory global ‘Decarbonization Divergence’ sustainability scenario. This scenario depicts an economy that decarbonizes through technological development despite further growth, while households do not contribute to such decarbonization efforts through lifestyle change, leading to divergent developments between the economy and households.
This article reviews three key focus areas leaders should prioritize while implementing a workplace artificial intelligence strategy. This article supports SDGs 8 and 9.
It is at the crossover of good health and wellbeing and innovation in industry. Depression is now a prevalent mental illness and multimodal data-based depression detection is an essential topic of research.
